How Does a Dictation Machine Recognize Continuous Speech?

by T.Dutoit, L.Couvreur, H.Bourlard

The Chapter 4 of the book "Applied signal processing: a MATLAB-based proof of concept" shows how GMMs are used for the classification of (supposedly stationary) signals and how HMMs provide a means of modelling non stationary signals as sequences of stationary states.The chapter also implements a simple bigram model, whose coupling with the word HMMs has resulted in a unique sentence HMM, able to perform continuous speech recognition, i.e., to find how many words are present in an incoming stream of feature vectors and what those words are.

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